Presentation 2013-09-13
A Recommender System based on Item Category Structures of Online Shops
Motoki ZAIZEN, Daisuke KITAYAMA, Kazutoshi SUMIYA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The category of online shops might be mean items uses. However, items have not only uses shown by the category but also a various use. For example, "the flashlight" is used for camping items and items for disasters but its category is only "outdoors". Then, the other online shopping's category have "the flashlight". Using category structures of online shops, we recommend various item based on a lot of points of view for the item browsed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Online shopping / A recommender system / Category structures
Paper # DE2013-46
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Conference Information
Committee DE
Conference Date 2013/9/5(1days)
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Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Recommender System based on Item Category Structures of Online Shops
Sub Title (in English)
Keyword(1) Online shopping
Keyword(2) A recommender system
Keyword(3) Category structures
1st Author's Name Motoki ZAIZEN
1st Author's Affiliation School of Human Science and Environment, University of Hyogo()
2nd Author's Name Daisuke KITAYAMA
2nd Author's Affiliation R&D Faculty of Informatics, Kogakuin University
3rd Author's Name Kazutoshi SUMIYA
3rd Author's Affiliation School of Human Science and Environment, University of Hyogo
Date 2013-09-13
Paper # DE2013-46
Volume (vol) vol.113
Number (no) 214
Page pp.pp.-
#Pages 6
Date of Issue